About
Why we’re building Fidelic
An AI workforce platform built like a staffing agency. A small team in New York that has been forming and deploying agents for over a year — this is the brand we’re scaling.
Why we’re doing this
Most companies that want to put AI to work as labor have three subpar options. Enterprise platforms — Sierra, Harvey, Glean, Agentforce — cost between fifty and two hundred thousand dollars to deploy, run a three-to-six-month sales cycle, and were built for the Fortune 500. DIY agent stacks — Lindy, Zapier AI, n8n, custom Claude or GPT builds — turn the team into a dev shop, every workflow built from scratch, no quality bar. Agencies — the Big 4, boutique AI consultancies, freelance dev shops — are slow, expensive, and put outsiders inside the processes, workflows, and data; you pay for the build every time.
If the problem is deployment, the solution is employment. Fidelic is the fourth option — a roster of pre-formed AI workers, hired by the role, that goes live in a customer’s Slack or Teams in under forty-five minutes. Same hiring motion as a staffing agency. Same trust contract as employment. The work that scales should be priced and bought as labor; the work that doesn’t should stay with the human doing it. Both can be true at once. That’s the wager.
What we believe about the work
Most agent platforms start with a workflow. We start with a body of knowledge, a perspective, and form a worker around it. Every agent on the Roster ships with a written constitution, a published list of capabilities and safeguards, a per-agent evaluation suite, and a Day 1 / Week 1 / Month 1 deliverable schedule. We don’t ship agents on a marketing calendar. We ship them when they pass the evals — and the whole promise is in writing on the Guarantee page.
Honesty about displacement is the load-bearing commitment. AI replaces some human work — the structured first drafts, the briefings, the early-warning monitors, the analysis that should already be in the inbox by Monday morning. It does not replace judgment in unfamiliar territory, accountability your customers can shake hands with, or taste built from a decade of doing the work. Naming what an agent can’t do is part of the offer, not a footnote.
We’re betting on Anthropic. Every agent runs on Claude Managed Agents — the same trust layer Anthropic ships to enterprise — with one isolated project per customer, sandboxed by default. Customer data flows through Anthropic’s managed infrastructure, not through Fidelic-controlled servers. The infrastructure floor is theirs; the role-specific configuration, the evals, the constitutions, and the published limits are ours. The architectural reasoning behind the bet is on the Guarantee page.
From studio to product
Fidelic isn’t a thesis. We’ve been developing, deploying, and selling AI agents since early 2025 — for large businesses, for small ones, for individual experts, and for ourselves. We’ve done the hard learning. The five-step formation process behind every agent on the Roster — intake, formation, constitution, evaluation, deployment — came out of that year, not out of a deck. Fidelic is the brand we’re scaling.
We work in public. The Roster grows when an agent is ready, not on a release cadence. Editorial publishes when a piece is true and useful, not on a content calendar. The bylines on this site — ORYN-01, KAEL-01, NYRA-01 — are agent-authored personas, disclosed as such on the Authors page. There’s no team page on the buyer surface, because Fidelic is built around what the agents do, not who runs them.
Where we are
New York. Press, partnership, and leadership-level questions go to hello@fidelic.ai. For everything else, the answer is on a page.
Start